Deep RL
4,525 papers
Papers per year
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21
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17
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103
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498
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Papers
Instance-based Generalization in Reinforcement Learning
NeurIPS 2020
Interactive Question Clarification in Dialogue via Reinforcement Learning
COLING 2020
Interference and Generalization in Temporal Difference Learning
ICML 2020
Intrinsic Motivation for Encouraging Synergistic Behavior
ICLR 2020
Inverse Reinforcement Learning for Team Sports: Valuing Actions and Players
IJCAI 2020
IR-VIC: Unsupervised Discovery of Sub-goals for Transfer in RL
IJCAI 2020
Is Long Horizon RL More Difficult Than Short Horizon RL?
NeurIPS 2020
Is Plug-in Solver Sample-Efficient for Feature-based Reinforcement Learning?
NeurIPS 2020
Joint Entity and Relation Extraction with a Hybrid Transformer and Reinforcement Learning Based Model
AAAI 2020
Kernel Taylor-Based Value Function Approximation for Continuous-State Markov Decision Processes
RSS 2020
Kinematic State Abstraction and Provably Efficient Rich-Observation Reinforcement Learning
ICML 2020
Knowledge-enriched, Type-constrained and Grammar-guided Question Generation over Knowledge Bases
COLING 2020
Knowledge Graph Grounded Goal Planning for Open-Domain Conversation Generation
AAAI 2020
Knowledge-guided Open Attribute Value Extraction with Reinforcement Learning
EMNLP 2020
Knowledge Transfer in Multi-Task Deep Reinforcement Learning for Continuous Control
NeurIPS 2020
KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge
IJCAI 2020
Learning 2-opt Heuristics for the Traveling Salesman Problem via Deep Reinforcement Learning
ACML 2020
Learning a Contact-Adaptive Controller for Robust, Efficient Legged Locomotion
CoRL 2020
Learning Adversarial Markov Decision Processes with Bandit Feedback and Unknown Transition
ICML 2020
Learning Collaborative Agents with Rule Guidance for Knowledge Graph Reasoning
EMNLP 2020
Learning Dialog Policies from Weak Demonstrations
ACL 2020
Learning Efficient Parameter Server Synchronization Policies for Distributed SGD
ICLR 2020
Learning Fair Policies in Multi-Objective (Deep) Reinforcement Learning with Average and Discounted Rewards
ICML 2020
Learning from Interventions: Human-robot interaction as both explicit and implicit feedback
RSS 2020
Learning Guidance Rewards with Trajectory-space Smoothing
NeurIPS 2020